(September 4, 2017) A statistical method to capture musical styles and create new melodies. A pattern that can also be used to avoid plagiarism. It has a touch of made in Italy the innovative research published on Scientific Reports. From the statistical principles, a new method for finding the main structures of musical melodies is born. It is the discovery of an international research team, which includes Vittorio Loreto and Francesca Tria of the University of Rome La Sapienza, which has demonstrated as a new method is able to identify the fundamental association structures in a musical sequence. The model can also be used to artificially create musical pieces of the same style, while avoiding plagiarism. Music is a system composed of a complex network of interacting components, notes, comparable to neurons in the nervous system; the statistic, through the probability calculation method, is able to detect the existing relationships between the notes and to guide the algorithmic composition of new melodies. The challenge of the research group was to find a model of Maximum Entropy for determining probability distributions from “partial” information, capable of generating new melodies with the same stylistic elements as the reference track . Given a sequence of elements, in this case the notes, one can determine for each pair of “x” and “y” notes, the probability that “x” is followed by “y”; From this set of probabilities, a random sequence can be obtained by digital processing, which holds the same probabilities: from a given corpus of tracks, the method is able to generate, using a specific algorithm, musical tracks with the same style as reference corpus (PO / red)
